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Chapman & Hall/CRC The R Series


About the Series

This book series reflects the recent rapid growth in the development and application of R, the programming language and software environment for statistical computing and graphics. R is now widely used in academic research, education, and industry. It is constantly growing, with new versions of the core software released regularly and more than 12,000 packages available. It is difficult for the documentation to keep pace with the expansion of the software, and this vital book series provides a forum for the publication of books covering many aspects of the development and application of R.

The scope of the series is wide, covering three main threads:

  • Applications of R to specific disciplines such as biology, epidemiology, genetics, engineering, finance, and the social sciences.
  • Using R for the study of topics of statistical methodology, such as linear and mixed modeling, time series, Bayesian methods, and missing data.
  • The development of R, including programming, building packages, and graphics.

The books will appeal to programmers and developers of R software, as well as applied statisticians and data analysts in many fields. The books will feature detailed worked examples and R code fully integrated into the text, ensuring their usefulness to researchers, practitioners and students.

Please contact us if you have an idea for a book for the series.

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Learn R

Learn R

1st Edition

Forthcoming

Pedro J. Aphalo
March 27, 2020

Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call...

Reproducible Research with R and RStudio

Reproducible Research with R and RStudio

3rd Edition

Forthcoming

Christopher Gandrud
February 03, 2020

Praise for previous editions:"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as...

Interactive Web-Based Data Visualization with R, plotly, and shiny

Interactive Web-Based Data Visualization with R, plotly, and shiny

1st Edition

Forthcoming

Carson Sievert
January 30, 2020

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It's written for the data analyst who wants to leverage the capabilities of interactive web graphics without...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

Forthcoming

Chester Ismay, Albert Y. Kim
December 23, 2019

v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Singh, Vaishali Singh, Vaishali 2 2 2019-11-20T05:22:00Z 2019-11-20T05:22:00Z 1 256 1463 12 3 1716 16.00 True 2567d566-...

Hands-On Machine Learning with R

Hands-On Machine Learning with R

1st Edition

Brad Boehmke, Brandon M. Greenwell
November 11, 2019

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply...

Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R

Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R

1st Edition

Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Fernanda De Bastiani
September 20, 2019

This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a...

Dose-Response Analysis Using R

Dose-Response Analysis Using R

1st Edition

Christian Ritz, Signe Marie Jensen, Daniel Gerhard, Jens Carl Streibig
July 11, 2019

Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was...

Advanced R, Second Edition

Advanced R, Second Edition

2nd Edition

Hadley Wickham
May 30, 2019

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the...

Geocomputation with R

Geocomputation with R

1st Edition

Robin Lovelace, Jakub Nowosad, Jannes Muenchow
March 25, 2019

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and...

Statistical Computing with R, Second Edition

Statistical Computing with R, Second Edition

2nd Edition

Maria L. Rizzo
March 06, 2019

Praise for the First Edition: ". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and...

Spatio-Temporal Statistics with R

Spatio-Temporal Statistics with R

1st Edition

Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie
February 18, 2019

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics...

Practical R for Mass Communication and Journalism

Practical R for Mass Communication and Journalism

1st Edition

Sharon Machlis
December 26, 2018

Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and techniques for incorporating...

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